采用网络舆情指数评价体系分级预警的多层模糊综合评判模型

Multilevel Fuzzy Comprehensive Evaluation Model for Early Warning of Classification Judgment Based on Index Evaluation System of Public Opinion

为了掌握和监控网络舆情发展动向,对网络舆情进行分级研判预警是极为重要的。基于已有的网络舆情指数评价体系,建立了多层模糊综合评判模型,计算得到了网络舆情影响指数的向量,并应用最大隶属度原则对舆情事件发展的结果进行了可标识为红色、橙色、黄色、蓝色的4级评判。将模型对"重庆人事变动"、"中菲黄岩岛争端"、"油价上涨"3个网络热点事件进行分析,获得了它们的分级预警评判结果。

In order to control and monitor the development of network public opinion, early warning of classification judgment for network public opinion is extremely important. Based on the known index evaluation system of network public opinion, we established a new model of multilevel fuzzy compre- hensive evaluation in this paper. We obtained the vector of the influencing index of network public o- pinion by computation, and evaluated result of network public opinion in the way that it was divided into four classifications： red, orange, yellow and blue by the principle of maximal membership de- gree. We applyed the new model to three examples of hot network events such as ＂personnel change of Chongqing city＂, ＂dispute of Scarborough Shoal Between China and Philippines＂ and ＂rise of oil price＂. By analysis, we obtained their evaluation results for early warning of classification judgment finally.